GPT-5 Nano
Parameters
-
Context Length
131K
Modality
Text
Architecture
Dense
License
Proprietary
Release Date
13 Nov 2025
Knowledge Cutoff
-
Technical Specifications
Attention Structure
Multi-Head Attention
Hidden Dimension Size
-
Number of Layers
-
Attention Heads
-
Key-Value Heads
-
Activation Function
-
Normalization
-
Position Embedding
Absolute Position Embedding
GPT-5 Nano
Ultra-efficient model optimized for maximum throughput with minimal resource requirements. Maintains functional capabilities for basic coding (67.38 LiveBench Coding) and reasoning tasks. Perfect for high-volume, low-complexity workloads where cost and latency are paramount. Suitable for simple queries, basic code assistance, and lightweight AI interactions.
About GPT-5
OpenAI's latest generation of language models featuring advanced reasoning capabilities, extended context windows up to 400K tokens, and specialized variants for coding, general intelligence, and efficiency. GPT-5 series introduces improved thinking modes, superior performance across benchmarks, and variants optimized for different use cases from high-capacity Pro models to efficient Nano models. Features native multimodal understanding, enhanced mathematical reasoning, and state-of-the-art coding abilities through Codex variants.
Other GPT-5 Models
Evaluation Benchmarks
Rank
#51
| Benchmark | Score | Rank |
|---|---|---|
Summarization ProLLM Summarization | 0.95 | 7 |
Agentic Coding LiveBench Agentic | 0.28 | 30 |
Coding LiveBench Coding | 0.67 | 37 |
Mathematics LiveBench Mathematics | 0.65 | 38 |
Data Analysis LiveBench Data Analysis | 0.66 | 38 |
Reasoning LiveBench Reasoning | 0.35 | 54 |
Rankings
Overall Rank
#51
Coding Rank
#40